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Mastering Tableau 2021

You're reading from   Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 3rd Edition
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Authors (2):
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David Baldwin David Baldwin
Author Profile Icon David Baldwin
David Baldwin
Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
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Table of Contents (18) Chapters Close

Preface 1. Getting Up to Speed – A Review of the Basics 2. All About Data – Getting Your Data Ready FREE CHAPTER 3. Tableau Prep Builder 4. All About Data – Joins, Blends, and Data Structures 5. Table Calculations 6. All About Data – Data Densification, Cubes, and Big Data 7. Level of Detail Calculations 8. Beyond the Basic Chart Types 9. Mapping 10. Tableau for Presentations 11. Visualization Best Practices and Dashboard Design 12. Advanced Analytics 13. Improving Performance 14. Interacting with Tableau Server/Online 15. Programming Tool Integration 16. Another Book You May Enjoy
17. Index

Tableau and big data

Perhaps the first challenge of big data is defining it adequately. It's a term so widely used as to be almost meaningless. For example, some may refer to data exceeding 1,048,576 rows as big data (which is the row limit in Excel 2010 and 2013) while others would only apply the term to datasets in the multiple petabyte range. Definitions found on Wikipedia (https://en.wikipedia.org/wiki/Big_data) and Webopedia (https://www.webopedia.com/TERM/B/big_data.html) are so broad as to encompass both of these examples. True, it is probably simplistic to consider data that merely exceeds Excel's row limitation as big data; nevertheless, from the perspective of an individual for whom Excel is the traditional data-processing application, the preceding definitions fit.

Rather than try to provide an adequately narrow definition of what is essentially a buzzword, this section will primarily focus on one aspect of big data: massively parallel processing. However...

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